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Qwen3.6 35B A3B vs Claude Sonnet 4.5 🎸 Guitar Hero, another HTML canvas challenge Went pretty hard on this one ngl, there are a lot of elements and visual effects to stitch together. Best result I could get out of 5 runs on both Qwen set the stage on...

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left curve dev

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50,056 просмотров • 4 месяцев назад •via X (Twitter)

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Qwen3.6 35B A3B vs Claude Sonnet 4.5 Made them fight on the same prompt. 🌸 "Cherry blossom" challenge Both models took exactly 41s to deliver, no retries Oh boy 🤯 Crazier part is that I used Unsloth AI's UD-IQ3_XXS gguf to make it fit in 16GB VRAM...
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Qwen3.6 35B A3B vs Claude Sonnet 4.5 Made them fight on the same prompt. 🌸 "Cherry blossom" challenge Both models took exactly 41s to deliver, no retries Oh boy 🤯 Crazier part is that I used Unsloth AI's UD-IQ3_XXS gguf to make it fit in 16GB VRAM...

left curve dev

69,512 просмотров • 5 месяцев назад

🥊 Qwen3.6 35B A3B vs Qwen3.6 27B Made them fight on the same prompt 🌊 Ocean Waves, a canvas challenge 35B took 39.7s (at 142tok/s) 27B took 111.6s (at 50tok/s) Both models are really good. The fact that the 35B produced such a strong result in under 40 seconds is seriously impressive. But when you look at 27B's output... it's actually so much better Added clouds, beautiful foam particles and splashing effects, a perfectly straight horizon, more realistic blinking stars, and a nice sun reflection on the water 🏆 Qwen3.6 27B slower but the result slaps Absolutely amazing that both models run smoothly on 16GB VRAM. Used Unsloth AI GGUFs here, Q3_K_S quant to make it fit in the hardware 🔥
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🥊 Qwen3.6 35B A3B vs Qwen3.6 27B Made them fight on the same prompt 🌊 Ocean Waves, a canvas challenge 35B took 39.7s (at 142tok/s) 27B took 111.6s (at 50tok/s) Both models are really good. The fact that the 35B produced such a strong result in under 40 seconds is seriously impressive. But when you look at 27B's output... it's actually so much better Added clouds, beautiful foam particles and splashing effects, a perfectly straight horizon, more realistic blinking stars, and a nice sun reflection on the water 🏆 Qwen3.6 27B slower but the result slaps Absolutely amazing that both models run smoothly on 16GB VRAM. Used Unsloth AI GGUFs here, Q3_K_S quant to make it fit in the hardware 🔥

left curve dev

61,283 просмотров • 5 месяцев назад

DEEPSEEK V4 FLASH AND QWEN3.6 ARE FREE ON AMD'S OWN CLOUD AT $10 OF USAGE A DAY • AMD Token Factory > DeepSeek V4 Flash, Qwen3.6 35B, MiniCPM5 and MiniCPM-V46 at zero cost: > $10 every day, not once -- the counter resets daily. > Everything outside that list runs on Firework AI credits. • SuperGrok, seven days > Grok's paid tier free for a week: > A card is required and it renews on its own, so set the reminder the moment you start. > Availability still depends on your region. AMD built this the way NVIDIA built NIM -> the chip vendors are handing out inference now, because what they are really buying is which silicon you learn on. One of these resets every morning. The other one you only get once ↓
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DEEPSEEK V4 FLASH AND QWEN3.6 ARE FREE ON AMD'S OWN CLOUD AT $10 OF USAGE A DAY • AMD Token Factory > DeepSeek V4 Flash, Qwen3.6 35B, MiniCPM5 and MiniCPM-V46 at zero cost: > $10 every day, not once -- the counter resets daily. > Everything outside that list runs on Firework AI credits. • SuperGrok, seven days > Grok's paid tier free for a week: > A card is required and it renews on its own, so set the reminder the moment you start. > Availability still depends on your region. AMD built this the way NVIDIA built NIM -> the chip vendors are handing out inference now, because what they are really buying is which silicon you learn on. One of these resets every morning. The other one you only get once ↓

slash1s

74,474 просмотров • 1 месяц назад

HOLY MOLY running a 35B model locally on a MacBook shouldn’t be THIS FAST 🤯 Spent my weekend in atomic.chat testing Qwen 35B vs. Qwen 27B on my local machine. I had them generate a fully animated HTML/Canvas car mini-game (demo below), ... and both models breezed through the physics and parallax scrolling without a hitch! The secret sauce here is the Atomic Chat app. Because it's perfectly optimized for Mac and uses Google's new TurboQuant under the hood, you can run heavy open-source models flawlessly while keeping top-tier output quality 👊 Other perks: → ZERO setup required → Access 1,000+ models completely free → 100% offline and private → Zero API limits ... and MUCH more! I dropped the prompt I used in the 🧵↓ Spin it up locally and let me know what you get!
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HOLY MOLY running a 35B model locally on a MacBook shouldn’t be THIS FAST 🤯 Spent my weekend in atomic.chat testing Qwen 35B vs. Qwen 27B on my local machine. I had them generate a fully animated HTML/Canvas car mini-game (demo below), ... and both models breezed through the physics and parallax scrolling without a hitch! The secret sauce here is the Atomic Chat app. Because it's perfectly optimized for Mac and uses Google's new TurboQuant under the hood, you can run heavy open-source models flawlessly while keeping top-tier output quality 👊 Other perks: → ZERO setup required → Access 1,000+ models completely free → 100% offline and private → Zero API limits ... and MUCH more! I dropped the prompt I used in the 🧵↓ Spin it up locally and let me know what you get!

Charly Wargnier

100,041 просмотров • 4 месяцев назад

After two rounds of practice, this one went much faster. A lot of video effects that look complicated become much easier once you break them down into smaller modules. Here are 3 small tips I’ve learned for making this kind of video: 1. Show the final result at the beginning to set expectations 2. Let the decorative elements stay on screen for 2 extra seconds at the start of each segment 3. Cut out the clips where the AI motion goes wrong Full workflow and prompts:
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After two rounds of practice, this one went much faster. A lot of video effects that look complicated become much easier once you break them down into smaller modules. Here are 3 small tips I’ve learned for making this kind of video: 1. Show the final result at the beginning to set expectations 2. Let the decorative elements stay on screen for 2 extra seconds at the start of each segment 3. Cut out the clips where the AI motion goes wrong Full workflow and prompts:

underwood

209,708 просмотров • 3 месяцев назад

New vs Old! Epyc 64-Core CPU vs DEC VAX! I like to compare weird things on an even playing field, and so I installed NetBSD 10.1 on both a VAX 4000-705A and on an Epyc 8534P, 64-core CPU with 128GB of RAM. The 1993 VAX runs at 112MHz (pretty fast for a VAX!) Then I set them both to building the NetBSD source tree. Epyc on the top, VAX on the bottom. And this VAX is at least 50x as fast as the original VAX 11/780!
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New vs Old! Epyc 64-Core CPU vs DEC VAX! I like to compare weird things on an even playing field, and so I installed NetBSD 10.1 on both a VAX 4000-705A and on an Epyc 8534P, 64-core CPU with 128GB of RAM. The 1993 VAX runs at 112MHz (pretty fast for a VAX!) Then I set them both to building the NetBSD source tree. Epyc on the top, VAX on the bottom. And this VAX is at least 50x as fast as the original VAX 11/780!

Dave W Plummer

21,590 просмотров • 1 год назад

5 days ago it took 2 GPUs to build this. today it takes 1. same prompt. same particle simulation. completely different model. Qwen-Coder-Next (80B) on 2x 3090s. 46 tok/s. 564 lines. 2 iterations to get it working. 48GB VRAM across two cards just to hold it. Qwen3.5-35B-A3B on a single 3090. 112 tok/s. 461 lines. first try. cleaner code, fewer lines, better structured. 19.7GB on disk with 4GB VRAM to spare. half the parameters. one GPU instead of two. 2.4x faster. and the output actually improved. this is what happens when architecture catches up to ambition. Gated Delta Networks(Mamba2 variant) hybrid with sparse MoE. 3B active params out of 35B per token. efficiency at the architecture level, not just quantization. the curve isn't flattening. it's steepening.
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5 days ago it took 2 GPUs to build this. today it takes 1. same prompt. same particle simulation. completely different model. Qwen-Coder-Next (80B) on 2x 3090s. 46 tok/s. 564 lines. 2 iterations to get it working. 48GB VRAM across two cards just to hold it. Qwen3.5-35B-A3B on a single 3090. 112 tok/s. 461 lines. first try. cleaner code, fewer lines, better structured. 19.7GB on disk with 4GB VRAM to spare. half the parameters. one GPU instead of two. 2.4x faster. and the output actually improved. this is what happens when architecture catches up to ambition. Gated Delta Networks(Mamba2 variant) hybrid with sparse MoE. 3B active params out of 35B per token. efficiency at the architecture level, not just quantization. the curve isn't flattening. it's steepening.

Sudo su

34,624 просмотров • 6 месяцев назад

THREE 3090s ON ONE BOARD GIVE YOU 72GB OF VRAM AND KILL YOUR $200 CLAUDE CODE AND $200 OPENAI BILL people are pulling three used 3090s off ebay for around $2,100 total and stacking them in one tower to build a dedicated ai rig. that pools 72gb of vram for less than what a single rtx 5090 retails for alibaba shipped qwen 3.6 27b in april under apache 2.0. on realworldqa vision it scores 84.1 against claude 4.5 opus at 77.0. on ifbench instructions it lands at 76.5 against claude's 58.0 a single 3090 already runs qwen 3.6 27b with eight gigs of headroom. three of them in parallel handle larger models like deepseek r1 70b and qwen 235b without breaking a sweat a heavy ai user pays $200 claude code, $200 chatgpt pro plus $40 cursor and gemini. that's $5,280 a year and the rig pays itself off before month nine on $8 a month in electricity setup is one shell command for ollama, one to pull the model, one environment variable to point claude code at localhost. cli stays identical, nothing leaves the network, requests stop costing money bookmark this and read the article below
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THREE 3090s ON ONE BOARD GIVE YOU 72GB OF VRAM AND KILL YOUR $200 CLAUDE CODE AND $200 OPENAI BILL people are pulling three used 3090s off ebay for around $2,100 total and stacking them in one tower to build a dedicated ai rig. that pools 72gb of vram for less than what a single rtx 5090 retails for alibaba shipped qwen 3.6 27b in april under apache 2.0. on realworldqa vision it scores 84.1 against claude 4.5 opus at 77.0. on ifbench instructions it lands at 76.5 against claude's 58.0 a single 3090 already runs qwen 3.6 27b with eight gigs of headroom. three of them in parallel handle larger models like deepseek r1 70b and qwen 235b without breaking a sweat a heavy ai user pays $200 claude code, $200 chatgpt pro plus $40 cursor and gemini. that's $5,280 a year and the rig pays itself off before month nine on $8 a month in electricity setup is one shell command for ollama, one to pull the model, one environment variable to point claude code at localhost. cli stays identical, nothing leaves the network, requests stop costing money bookmark this and read the article below

starmex

16,719 просмотров • 3 месяцев назад

Dua Lipa and Callum Turner are on an epic Southern Italy “road trip” 🇮🇹 Worth copying stage by stage! They were recently at “Concettina ai Tre Santi” pizzeria in Naples I went there a couple of months ago One of the best experiences ever Bookmark this place and book ahead!
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Dua Lipa and Callum Turner are on an epic Southern Italy “road trip” 🇮🇹 Worth copying stage by stage! They were recently at “Concettina ai Tre Santi” pizzeria in Naples I went there a couple of months ago One of the best experiences ever Bookmark this place and book ahead!

Mambo Italiano

83,074 просмотров • 3 месяцев назад

ANTHROPIC 🔥: A new Managed Projects feature has been spotted in testing on Claude. > Claude takes on tasks and keeps the project organized. > A project is a home for one stream of work. Sessions share memory and instructions so context carries forward, and Claude runs more autonomously. Projects only create and manage cloud sessions. This feature may be built on top of Claude Managed Agents, where each project gets a dedicated cloud environment so Claude can execute periodic tasks and refine project context via "Dreams". It could also be a successor to Conway, which is set to be removed this Friday internally.
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ANTHROPIC 🔥: A new Managed Projects feature has been spotted in testing on Claude. > Claude takes on tasks and keeps the project organized. > A project is a home for one stream of work. Sessions share memory and instructions so context carries forward, and Claude runs more autonomously. Projects only create and manage cloud sessions. This feature may be built on top of Claude Managed Agents, where each project gets a dedicated cloud environment so Claude can execute periodic tasks and refine project context via "Dreams". It could also be a successor to Conway, which is set to be removed this Friday internally.

🚨 AI News | TestingCatalog

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Qwen 3.8 Flash Next (125B A6B MoE) Vs Qwen 3.8 27B (dense) - Both Q4_K_XL - Reasoning Off Prompt: Create a very high quality realistic video like animation of the solar system. three.js via cdn. Let the camera revolve around. single html file. dont call any tools. dont need any controls. Qwen 3.8 27b focused on computational physics & geometry (inclinations, coordinate math, moon orbits). While Qwen 3.8 125B A6B focused on cinematography & visual UX (lighting contrast, atmospheric glow, framing, and HUD overlays). It also followed the camera instruction correctly and produced result thats visually more stunning. Both the models run on single RTX 3090/4090 (24 GB VRAM). the 27b will fit entirely in the VRAM, but you'd need 100-120GB RAM for the new 125B MoE (check out the previous post for complete inference benchmarks and llama.cpp setup) Qwen 3.8 Flash Next beats Qwen 3.8 27B in almost all the benchmarks. have dropped the intelligence benchmark comparison and unsloth quant huggingface links in the replies. Which one would u be running regularly on your hardware?
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Qwen 3.8 Flash Next (125B A6B MoE) Vs Qwen 3.8 27B (dense) - Both Q4_K_XL - Reasoning Off Prompt: Create a very high quality realistic video like animation of the solar system. three.js via cdn. Let the camera revolve around. single html file. dont call any tools. dont need any controls. Qwen 3.8 27b focused on computational physics & geometry (inclinations, coordinate math, moon orbits). While Qwen 3.8 125B A6B focused on cinematography & visual UX (lighting contrast, atmospheric glow, framing, and HUD overlays). It also followed the camera instruction correctly and produced result thats visually more stunning. Both the models run on single RTX 3090/4090 (24 GB VRAM). the 27b will fit entirely in the VRAM, but you'd need 100-120GB RAM for the new 125B MoE (check out the previous post for complete inference benchmarks and llama.cpp setup) Qwen 3.8 Flash Next beats Qwen 3.8 27B in almost all the benchmarks. have dropped the intelligence benchmark comparison and unsloth quant huggingface links in the replies. Which one would u be running regularly on your hardware?

Alok

33,836 просмотров • 28 дней назад

I went back and did my best to get it the REAL PS2 Vibez We remember! My love for improving on my craft and yalls input goes a long way. I got a lot of PS3 comments on all my "PS2" videos so I had to go back to work on them. I hope yall like this one better!
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I went back and did my best to get it the REAL PS2 Vibez We remember! My love for improving on my craft and yalls input goes a long way. I got a lot of PS3 comments on all my "PS2" videos so I had to go back to work on them. I hope yall like this one better!

VinceJG

11,081 просмотров • 7 месяцев назад

FABLE 5 + HIGGSFIELD TURN A $35,000 ANIMATED SITE INTO A ONE-SESSION, $12 BUILD. HERE'S EXACTLY HOW. a studio runs this across four people and three weeks. you run it across one chat window and one afternoon. THE BUILD, STAGE BY STAGE: STAGE 1 - THE CONCEPT Claude reads your brief and scripts the scroll before a line of code exists - what the visitor feels at second 3, 15, 40. prompt: "read this brief. script the scroll beat by beat, then scaffold the project with GSAP ScrollTrigger + Lenis." STAGE 2 - THE VISUALS (Higgsfield) every hero shot, transition, and ambient loop comes out of 30+ generative models - matched to the story, not pulled from a stock library. prompt: "generate the hero sting and one b-roll clip per section. 3-5s, high-res, cinematic." STAGE 3 - THE MOTION (Claude Code) Claude writes the ScrollTrigger timelines and Lenis smooth-scroll, extracts frames, optimizes every asset. zero hand-coded keyframes. prompt: "wire the scroll: pin the hero, scrub the video, reveal each section on scroll. keep it 60fps on mobile." STAGE 4 - THE POLISH six cinematic effects baked in, no config: film grain, particles, vignette, glass cards, color tints, scroll pacing. prompt: "bake in the cinematic layer, then QA load speed, mobile breakpoints, and whether the scroll actually lands - rewrite what doesn't." CONNECT HIGGSFIELD (MCP): add it as a custom connector in Claude Code: mcp_servers: higgsfield: url: " one OAuth flow. Claude generates and pulls clips directly - no exporting by hand. THE MATH: → what a studio charges: $6,000-$35,000+ → what it costs you: a Claude sub + a few dollars of Higgsfield credits → what it takes: 4 people + 3 weeks → 1 operator + 1 session the pipeline was the moat. it just became four prompts. Follow me, comment "MATH" and I'll send you the full step-by-step Playbook. full breakdown in the article 👇
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FABLE 5 + HIGGSFIELD TURN A $35,000 ANIMATED SITE INTO A ONE-SESSION, $12 BUILD. HERE'S EXACTLY HOW. a studio runs this across four people and three weeks. you run it across one chat window and one afternoon. THE BUILD, STAGE BY STAGE: STAGE 1 - THE CONCEPT Claude reads your brief and scripts the scroll before a line of code exists - what the visitor feels at second 3, 15, 40. prompt: "read this brief. script the scroll beat by beat, then scaffold the project with GSAP ScrollTrigger + Lenis." STAGE 2 - THE VISUALS (Higgsfield) every hero shot, transition, and ambient loop comes out of 30+ generative models - matched to the story, not pulled from a stock library. prompt: "generate the hero sting and one b-roll clip per section. 3-5s, high-res, cinematic." STAGE 3 - THE MOTION (Claude Code) Claude writes the ScrollTrigger timelines and Lenis smooth-scroll, extracts frames, optimizes every asset. zero hand-coded keyframes. prompt: "wire the scroll: pin the hero, scrub the video, reveal each section on scroll. keep it 60fps on mobile." STAGE 4 - THE POLISH six cinematic effects baked in, no config: film grain, particles, vignette, glass cards, color tints, scroll pacing. prompt: "bake in the cinematic layer, then QA load speed, mobile breakpoints, and whether the scroll actually lands - rewrite what doesn't." CONNECT HIGGSFIELD (MCP): add it as a custom connector in Claude Code: mcp_servers: higgsfield: url: " one OAuth flow. Claude generates and pulls clips directly - no exporting by hand. THE MATH: → what a studio charges: $6,000-$35,000+ → what it costs you: a Claude sub + a few dollars of Higgsfield credits → what it takes: 4 people + 3 weeks → 1 operator + 1 session the pipeline was the moat. it just became four prompts. Follow me, comment "MATH" and I'll send you the full step-by-step Playbook. full breakdown in the article 👇

ZEUS⚡️

47,174 просмотров • 2 месяцев назад

I don’t think people realize how big a jump Grok 4.6 is. Look at this comparison with Fable on the same prompt. They’re pretty close, but Grok took half the time at ONE TENTH the cost. And I prefer a lot of choices Grok made: - fills the hero image to the top instead of leaving an ugly white strip - flat sharp tiles instead of the usual rounded card slop - fewer pointless labels and elements, more restraint - lighter text, less dense and overwhelming Fable certainly has more depth if you’re trying to do crazy edge-of-distribution stuff. It’s a much bigger model. But for the majority of work, you can get Fable quality for a 90% discount. Just insane how much of a step up it is from Grok 4.5.
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I don’t think people realize how big a jump Grok 4.6 is. Look at this comparison with Fable on the same prompt. They’re pretty close, but Grok took half the time at ONE TENTH the cost. And I prefer a lot of choices Grok made: - fills the hero image to the top instead of leaving an ugly white strip - flat sharp tiles instead of the usual rounded card slop - fewer pointless labels and elements, more restraint - lighter text, less dense and overwhelming Fable certainly has more depth if you’re trying to do crazy edge-of-distribution stuff. It’s a much bigger model. But for the majority of work, you can get Fable quality for a 90% discount. Just insane how much of a step up it is from Grok 4.5.

Anshu

54,593 просмотров • 1 месяц назад

34,547 ELEMENTS. 34 WARNINGS. 7 DUPLICATE ELEMENTS REVIT'S OWN SCHEDULE NEVER CAUGHT. One prompt, one live Revit model, one Claude session through the MCP connection. No plugins, no exported schedules to reformat by hand. Claude walked the model tree: rooms, families, sheets, every open warning, cross-checked counts against each other, and came back with a full audit. Top flag: three fire-rated doors modeled without a fire rating parameter. The rest ranked below it, from code-adjacent to cosmetic. Still the read-only side of Revit's official MCP server, the part Autodesk shipped first, on purpose. Write access is on their own roadmap, through a separate server built specifically for it. Nothing here moved a single element. The model just got properly looked at, faster than a manual QA pass usually runs.
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34,547 ELEMENTS. 34 WARNINGS. 7 DUPLICATE ELEMENTS REVIT'S OWN SCHEDULE NEVER CAUGHT. One prompt, one live Revit model, one Claude session through the MCP connection. No plugins, no exported schedules to reformat by hand. Claude walked the model tree: rooms, families, sheets, every open warning, cross-checked counts against each other, and came back with a full audit. Top flag: three fire-rated doors modeled without a fire rating parameter. The rest ranked below it, from code-adjacent to cosmetic. Still the read-only side of Revit's official MCP server, the part Autodesk shipped first, on purpose. Write access is on their own roadmap, through a separate server built specifically for it. Nothing here moved a single element. The model just got properly looked at, faster than a manual QA pass usually runs.

Solvaix

28,689 просмотров • 1 месяц назад

look what a single consumer GPU just built. gave Qwen3.5-35B-A3B one prompt: build a cloud GPU marketplace with pricing cards, deploy templates, and a benchmark leaderboard. it planned the layout, wrote the animations, populated the data, and served it. one shot. one HTML file. then i told it to iterate. split the hero, add a floating GPU with neural network animation. glassmorphism on the cards. done. done. done. three rounds, no confusion, no regressions. 4-bit quantized. 19.7 GB. single RTX 3090. full coding agent claude code harness running on localhost. no API calls leaving my machine. no subscription. no rate limits. earlier today i pointed it at my own production website. it curled the HTML, found every broken link, and told me "pretty shell, empty core. would not recommend." then built a better version from scratch. local inference stops being a demo when you actually steer it. the models are there. they understand intent. but you have to meet them halfway with good prompts, clear context, and real project structure. that's the skill gap now. not the models. the steering. more experiments coming. i genuinely cannot stop playing with this thing.
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look what a single consumer GPU just built. gave Qwen3.5-35B-A3B one prompt: build a cloud GPU marketplace with pricing cards, deploy templates, and a benchmark leaderboard. it planned the layout, wrote the animations, populated the data, and served it. one shot. one HTML file. then i told it to iterate. split the hero, add a floating GPU with neural network animation. glassmorphism on the cards. done. done. done. three rounds, no confusion, no regressions. 4-bit quantized. 19.7 GB. single RTX 3090. full coding agent claude code harness running on localhost. no API calls leaving my machine. no subscription. no rate limits. earlier today i pointed it at my own production website. it curled the HTML, found every broken link, and told me "pretty shell, empty core. would not recommend." then built a better version from scratch. local inference stops being a demo when you actually steer it. the models are there. they understand intent. but you have to meet them halfway with good prompts, clear context, and real project structure. that's the skill gap now. not the models. the steering. more experiments coming. i genuinely cannot stop playing with this thing.

Sudo su

37,373 просмотров • 6 месяцев назад

Back in October I was in Busan, Korea where I thought that I would be introducing another regular screening, but once I got on the stage through a backdoor, I realised that there were thousands of people in the audience. 4.5 thousand in fact. It’s better that I didn’t know this before, because that would’ve been a lot more anxiety inducing. It's hard to get used to this as I'm much more used to being alone in a room, sitting behind a computer screen, but it’s been a fun ride. Flow will be released in Korea on March 19.
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Back in October I was in Busan, Korea where I thought that I would be introducing another regular screening, but once I got on the stage through a backdoor, I realised that there were thousands of people in the audience. 4.5 thousand in fact. It’s better that I didn’t know this before, because that would’ve been a lot more anxiety inducing. It's hard to get used to this as I'm much more used to being alone in a room, sitting behind a computer screen, but it’s been a fun ride. Flow will be released in Korea on March 19.

Gints Zilbalodis

44,361 просмотров • 1 год назад

I had to write the same Claude Code prompt 40 times in one month. Good news! Anthropic already made them. The official Claude Code prompts are sorted by task and role in the documentation and are ready to be copied and pasted. These prompts were drawn from what our teams use on a daily basis while working with Claude Code. Examples of the types of tasks these prompts cover include: * Planning * Debugging * Code review * Security * Automation Even better, each prompt describes why it works and what you're trying to achieve. This helps you learn what makes a good prompt, and eventually craft your own versions. The prompts are completely free, and we have the link below ⬇️
0:11

I had to write the same Claude Code prompt 40 times in one month. Good news! Anthropic already made them. The official Claude Code prompts are sorted by task and role in the documentation and are ready to be copied and pasted. These prompts were drawn from what our teams use on a daily basis while working with Claude Code. Examples of the types of tasks these prompts cover include: * Planning * Debugging * Code review * Security * Automation Even better, each prompt describes why it works and what you're trying to achieve. This helps you learn what makes a good prompt, and eventually craft your own versions. The prompts are completely free, and we have the link below ⬇️

Charlie Hills

17,461 просмотров • 20 дней назад

this is f**king dangerous someone figured out how to make Opus 4.8 run on Fable 5's brain with one prompt access to the best model is never guaranteed. It disappeared once already this year. but you can use it forever. here's how: 1. ask Fable 5: "write the operating manual your replacement will run on" (procedures, failure modes, a 5-question self-test) 2. save the output as one .md file and drop it into a new Claude Project as the project instructions 3. switch to Opus 4.8 and now your everyday model runs off the smart one's method, no top-tier price save and bookmark this no matter what full extraction prompt is in the article below: ↓
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this is f**king dangerous someone figured out how to make Opus 4.8 run on Fable 5's brain with one prompt access to the best model is never guaranteed. It disappeared once already this year. but you can use it forever. here's how: 1. ask Fable 5: "write the operating manual your replacement will run on" (procedures, failure modes, a 5-question self-test) 2. save the output as one .md file and drop it into a new Claude Project as the project instructions 3. switch to Opus 4.8 and now your everyday model runs off the smart one's method, no top-tier price save and bookmark this no matter what full extraction prompt is in the article below: ↓

Hamza Khalid

32,300 просмотров • 2 месяцев назад

The whole process of putting together the "I hate cowboys" record and the "go down singin'" record was a long two years of figuring out how do something I've never done before. All the songs were written on guitar and a depth I haven't really hit before. This is the final piece of that puzzle. "The fireside sessions" are both those albums together, all acoustic, featuring the songwriters from both those records. This time in my career ends with both album covers together with me and my dad standing next to each other. It's the first time I've ever been able to see a picture of us as two grown men. I'm moving on to another album early next year, but I hope y'all love these versions of the songs, as they were written. The bluebird last night was a special way to celebrate the ending of these last two years, and the start of something new👏🏼
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The whole process of putting together the "I hate cowboys" record and the "go down singin'" record was a long two years of figuring out how do something I've never done before. All the songs were written on guitar and a depth I haven't really hit before. This is the final piece of that puzzle. "The fireside sessions" are both those albums together, all acoustic, featuring the songwriters from both those records. This time in my career ends with both album covers together with me and my dad standing next to each other. It's the first time I've ever been able to see a picture of us as two grown men. I'm moving on to another album early next year, but I hope y'all love these versions of the songs, as they were written. The bluebird last night was a special way to celebrate the ending of these last two years, and the start of something new👏🏼

Chase Rice

25,012 просмотров • 1 год назад